实践证明，振动过大往往是引发潜油电泵机组故障的根源之一。
Engineering practice was proved that one of the reasons for ESP failure was due to the excessive vibration.
基于人工神经网络LM算法，建立了风力发电机组故障预警诊断模型。
Based on LM algorithm of an artificial neural network, a model for fault warning diagnosis of wind power units has been established.
大型旋转机组故障预测系统由于系统复杂，采用传统的开发方式，开发周期长并且硬件系统庞大。
Because of its complexity, the fault prediction and diagnosis system of large rotating unit would involve long period of development and mammoth hardware system by using the traditional method.
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